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ナカジマ シンスケ
NAKAJIMA SHINSUKE
中島 伸介 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2007/07/02 |
| 形態種別 | その他 |
| 標題 | Evaluation of Tag-Based Contextual Collaborative Filtering Effectiveness in Website Recommendation |
| 執筆形態 | その他 |
| 掲載誌名 | IPSJ SIG Notes |
| 出版社・発行元 | Information Processing Society of Japan (IPSJ) |
| 巻・号・頁 | 2007(65),pp.25-30 |
| 著者・共著者 | NAKAMOTO Reyn,NAKAJIMA Shinsuke,MIYAZAKI Jun,UEMURA Shunsuke,KATO Hirokazu |
| 概要 | In this paper, we introduce a website bookmarking and recommendation system which uses Tag-Based Contextual Collaborative Filtering to effectively provide personalized, contextual recommendations. Current online search and recommendation systems have been limited to personalized recommendations via Collaborative Filtering (CF) or have been restricted to keyword-based search as provided by search engines or recently popular online social tagging systems. Yet, our new system combines the features of both CF and tagging to provide personalized, contextual website recommendations to the user. Based upon user testing, our system provides more relevant recommendations than traditional keyword search or CF recommendation methods. Additionally, users also reported to be more satisfied overall with the recommendations provided by our method. Overall, Tag-Based Contextual Collaborative Filtering was shown be effective in providing personalized, contextual recommendations to the end user. |
| ISSN | 0919-6072 |
| NAID | 110006381391 |